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chip_seq_matrix.py
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chip_seq_matrix.py
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import argparse
import os.path
import encodedcc
import requests
import urllib.parse
from time import sleep
import csv
import json
import sys
GET_HEADERS = {'accept': 'application/json'}
CORE_MARKS = ['H3K27ac', 'H3K27me3', 'H3K36me3', 'H3K4me1',
'H3K4me3', 'H3K9me3']
EXPERIMENT_IGNORE_STATUS = ['deleted', 'revoked', 'replaced']
FILE_IGNORE_STATUS = ['deleted', 'revoked', 'replaced', 'archived',
'upload failed', 'format check failed', 'uploading']
EPILOG = '''
For more details:
%(prog)s --help
'''
'''
Example command:
python3 chip_seq_matrix.py --keyfile keypairs.json --key test --lab bing-ren --organism 'Mus musculus' --target 'histone'
'''
def getArgs():
parser = argparse.ArgumentParser(
description=__doc__, epilog=EPILOG,
formatter_class=argparse.RawDescriptionHelpFormatter,
)
parser.add_argument('--lab',
help="lab performing chip-seq experiments" +
"(either \'bing-ren\' or \'bradley-bernstein\')")
parser.add_argument('--organism',
help="organism chip-seq experiments performed on " +
"(either \'Mus musculus\' or \'Homo sapiens\')")
parser.add_argument('--target',
help="target.investigated_as of chip-seq experiments performed " +
"(either \'histone\' or \'transcription factor\')")
parser.add_argument('--audit_matrix',
help="path to the audit matrix output file")
parser.add_argument('--run_type_matrix',
help="path to the run_type output file")
parser.add_argument('--key',
default='default',
help="The keypair identifier from the keyfile. \
Default is --key=default")
parser.add_argument('--keyfile',
default=os.path.expanduser("~/keypairs.json"),
help="The keypair file. Default is --keyfile=%s" % (os.path.expanduser("~/keypairs.json")))
parser.add_argument('--debug',
default=False,
action='store_true',
help="Print debug messages. Default is False.")
args = parser.parse_args()
return args
def encoded_get(url, keypair=None, frame='object', return_response=False):
url_obj = urllib.parse.urlsplit(url)
new_url_list = list(url_obj)
query = urllib.parse.parse_qs(url_obj.query)
if 'format' not in query:
new_url_list[3] += "&format=json"
if 'frame' not in query:
new_url_list[3] += "&frame=%s" % (frame)
if 'limit' not in query:
new_url_list[3] += "&limit=all"
if new_url_list[3].startswith('&'):
new_url_list[3] = new_url_list[3].replace('&', '', 1)
get_url = urllib.parse.urlunsplit(new_url_list)
max_retries = 10
max_sleep = 10
while max_retries:
try:
if keypair:
response = requests.get(get_url,
auth=keypair,
headers=GET_HEADERS)
else:
response = requests.get(get_url, headers=GET_HEADERS)
except (requests.exceptions.ConnectionError,
requests.exceptions.SSLError) as e:
print >> sys.stderr, e
sleep(max_sleep - max_retries)
max_retries -= 1
continue
else:
if return_response:
return response
else:
return response.json()
def is_interesting(experiment):
if experiment['status'] in EXPERIMENT_IGNORE_STATUS:
return False
return True
def is_replicated(experiment):
if 'replication_type' in experiment and \
experiment['replication_type'] == 'unreplicated':
return False
if 'audit' in experiment:
list_of_audits = []
if 'NOT_COMPLIANT' in experiment['audit']:
list_of_audits.extend(experiment['audit']['NOT_COMPLIANT'])
# commenting out, after ticket #3888
# if 'WARNING' in experiment['audit']:
# list_of_audits.extend(experiment['audit']['WARNING'])
for au in list_of_audits:
if au['category'] in ['unreplicated experiment']:
return False
return True
def is_antibody_eligible(experiment):
if 'audit' in experiment:
if 'NOT_COMPLIANT' in experiment['audit']:
for au in experiment['audit']['NOT_COMPLIANT']:
if au['category'] in ['not eligible antibody']:
return False
return True
def is_not_missing_antibody(experiment):
if 'audit' in experiment:
if 'ERROR' in experiment['audit']:
for au in experiment['audit']['ERROR']:
if au['category'] in ['missing antibody']:
return False
return True
def is_not_missing_controls(experiment):
if 'audit' in experiment:
if 'NOT_COMPLIANT' in experiment['audit']:
for au in experiment['audit']['NOT_COMPLIANT']:
if au['category'] in ['missing possible_controls',
'missing controlled_by']:
return False
return True
def is_not_mismatched_control(experiment):
if 'audit' in experiment:
if 'ERROR' in experiment['audit']:
for au in experiment['audit']['ERROR']:
if au['category'] in ['mismatched control']:
return False
return True
def is_not_mismatched_control_run_type(experiment):
if 'audit' in experiment:
if 'WARNING' in experiment['audit']:
for au in experiment['audit']['WARNING']:
if au['category'] in ['mismatched control run_type']:
return False
return True
def is_not_mismatched_control_read_length(experiment):
if 'audit' in experiment:
if 'WARNING' in experiment['audit']:
for au in experiment['audit']['WARNING']:
if au['category'] in ['mismatched control read length']:
return False
return True
def is_not_missing_paired_with(experiment):
if 'audit' in experiment:
if 'ERROR' in experiment['audit']:
for au in experiment['audit']['ERROR']:
if au['category'] in ['missing paired_with']:
return False
return True
def is_sufficient_read_depth(experiment):
if 'audit' in experiment:
list_of_audits = []
if 'NOT_COMPLIANT' in experiment['audit']:
list_of_audits.extend(experiment['audit']['NOT_COMPLIANT'])
for au in list_of_audits:
if au['category'] in ['insufficient read depth']:
return False
return True
def is_not_low_read_depth(experiment):
if 'audit' in experiment:
list_of_audits = []
if 'NOT_COMPLIANT' in experiment['audit']:
list_of_audits.extend(experiment['audit']['NOT_COMPLIANT'])
if 'WARNING' in experiment['audit']:
list_of_audits.extend(experiment['audit']['WARNING'])
for au in list_of_audits:
if au['category'] in ['low read depth']:
return False
return True
def is_compliant_library_complexity(experiment):
if 'audit' in experiment:
list_of_audits = []
if 'NOT_COMPLIANT' in experiment['audit']:
list_of_audits.extend(experiment['audit']['NOT_COMPLIANT'])
for au in list_of_audits:
if au['category'] in ['insufficient library complexity',
'poor library complexity']:
return False
return True
def is_not_moderate_library_complexity(experiment):
if 'audit' in experiment:
list_of_audits = []
if 'WARNING' in experiment['audit']:
list_of_audits.extend(experiment['audit']['WARNING'])
for au in list_of_audits:
if au['category'] in ['moderate library complexity']:
return False
return True
def is_compliant_library_bottlenecking(experiment):
if 'audit' in experiment:
list_of_audits = []
if 'NOT_COMPLIANT' in experiment['audit']:
list_of_audits.extend(experiment['audit']['NOT_COMPLIANT'])
for au in list_of_audits:
if au['category'] in ['severe bottlenecking',
'moderate bottlenecking']:
return False
return True
def is_not_mild_library_bottlenecking(experiment):
if 'audit' in experiment:
list_of_audits = []
if 'WARNING' in experiment['audit']:
list_of_audits.extend(experiment['audit']['WARNING'])
for au in list_of_audits:
if au['category'] in ['mild bottlenecking']:
return False
return True
def main():
args = getArgs()
key = encodedcc.ENC_Key(args.keyfile, args.key)
keypair = (key.authid, key.authpw)
server = key.server
connection = encodedcc.ENC_Connection(key)
lab = '&lab.name=' + args.lab
organism = '&replicates.library.biosample.donor.organism.scientific_name=' + \
args.organism
histone_experiments_pages = encoded_get(server +
'search/?type=Experiment' +
'&assay_term_name=ChIP-seq'
'&award.rfa=ENCODE3' + organism +
'&target.investigated_as=' +
args.target + lab +
'&format=json&frame=' +
'page&limit=all',
keypair)['@graph']
print ("retreived "+str(len(histone_experiments_pages)) +
" experiment pages")
histone_controls_pages = encoded_get(server +
'search/?type=Experiment' +
'&assay_term_name=ChIP-seq'
'&award.rfa=ENCODE3' + organism +
'&target.investigated_as=control' +
lab + '&format=json&frame=' +
'page&limit=all', keypair)['@graph']
print ("retreived "+str(len(histone_controls_pages)) + " control pages")
histone_experiments_objects = encoded_get(server +
'search/?type=Experiment' +
'&assay_term_name=ChIP-seq'
'&award.rfa=ENCODE3' + organism +
'&target.investigated_as=' +
args.target + lab +
'&format=json&frame=' +
'embedded&limit=all',
keypair)['@graph']
print ("retreived "+str(len(histone_experiments_objects)) +
" experiment objects")
histone_controls_objects = encoded_get(server +
'search/?type=Experiment' +
'&assay_term_name=ChIP-seq'
'&award.rfa=ENCODE3' + organism +
'&target.investigated_as=control' +
lab + '&format=json&frame=' +
'embedded&limit=all',
keypair)['@graph']
print ("retreived "+str(len(histone_controls_objects)) +
" control objects")
matrix = {}
control_matrix = {}
sample_types = set()
marks = set()
histone_experiments_dict = {}
for entry in histone_experiments_pages:
histone_experiments_dict[entry['accession']] = {'page': entry}
for entry in histone_experiments_objects:
histone_experiments_dict[entry['accession']]['object'] = entry
sample = entry['biosample_term_name']
mark = entry['target']['label']
if mark not in matrix:
matrix[mark] = {}
if sample not in matrix[mark]:
matrix[mark][sample] = []
if 'aliases' in entry:
matrix[mark][sample].append((entry['accession'], entry['aliases']))
else:
matrix[mark][sample].append((entry['accession'], 'NO ALIASES'))
sample_types.add(sample)
marks.add(mark)
histone_controls_dict = {}
for entry in histone_controls_pages:
histone_controls_dict[entry['accession']] = {'page': entry}
for entry in histone_controls_objects:
histone_controls_dict[entry['accession']]['object'] = entry
sample = entry['biosample_term_name']
mark = 'control'
if mark not in control_matrix:
control_matrix[mark] = {}
if sample not in control_matrix[mark]:
control_matrix[mark][sample] = []
if 'aliases' in entry:
control_matrix[mark][sample].append((entry['accession'],
entry['aliases']))
else:
control_matrix[mark][sample].append((entry['accession'],
'NO ALIASES'))
sample_types.add(sample)
marks.add(mark)
mone = 0
for ac in histone_experiments_dict:
page = histone_experiments_dict[ac]['page']
obj = histone_experiments_dict[ac]['object']
mone += 1
# check only experiments that are not DELETED/REVOKED/REPLACED
if is_interesting(obj):
if mone % 10 == 0:
print ('processed '+str(mone) + ' out of ' +
str(len(histone_experiments_dict.keys())))
statuses = {'replication': [], 'antibody': [], 'control': [], 'files': [], 'qc': []}
if is_replicated(obj) is False or is_replicated(page) is False:
statuses['replication'].append('unreplicated')
if is_antibody_eligible(page) is False:
statuses['antibody'].append('not eligible antybody')
if is_not_missing_antibody(page) is False:
statuses['antibody'].append('missing antybody')
if is_not_mismatched_control(page) is False:
statuses['control'].append('mismatched controled_by')
if is_not_mismatched_control_run_type(page) is False:
statuses['control'].append('mismatched controled_by run_type')
if is_not_mismatched_control_read_length(page) is False:
statuses['control'].append('mismatched controled_by read_length')
if is_not_missing_controls(page) is False:
statuses['control'].append('missing control')
if is_not_missing_paired_with(page) is False:
statuses['files'].append('missing paired_with files')
if is_sufficient_read_depth(page) is False:
statuses['qc'].append('insufficient read depth')
if is_not_low_read_depth(page) is False:
statuses['qc'].append('low read depth')
if is_compliant_library_complexity(page) is False:
statuses['qc'].append('insufficient/poor library complexity')
if is_not_moderate_library_complexity(page) is False:
statuses['qc'].append('moderate library complexity')
if is_compliant_library_bottlenecking(page) is False:
statuses['qc'].append('severe/moderate library bottlenecking')
if is_not_mild_library_bottlenecking(page) is False:
statuses['qc'].append('mild library bottlenecking')
if is_not_missing_controls(page) is True and \
is_not_mismatched_control(page) is True:
not_encode_3_flag = False
for entry in obj['possible_controls']:
control_accession = entry['accession']
if control_accession in histone_controls_dict:
control_page = histone_controls_dict[control_accession]['page']
if is_sufficient_read_depth(control_page) is False:
statuses['control'].append('insufficient read '
'depth in control')
if is_not_low_read_depth(control_page) is False:
statuses['control'].append('low read '
'depth in control')
if is_compliant_library_complexity(control_page) is False:
statuses['control'].append('insufficient/poor '
'library '
'complexity in control')
if is_not_moderate_library_complexity(control_page) is False:
statuses['control'].append('moderate library '
'complexity in control')
if is_compliant_library_bottlenecking(control_page) is False:
statuses['control'].append('severe/moderate library '
'bottlenecking in control')
if is_not_mild_library_bottlenecking(control_page) is False:
statuses['control'].append('mild library '
'bottlenecking in control')
else:
not_encode_3_flag = True
if (not_encode_3_flag is True):
statuses['control'].append('non ENCODE3 control')
histone_experiments_dict[ac]['statuses'] = statuses
rep_dict = {}
for file_id in obj['original_files']:
file_object = encodedcc.get_ENCODE(file_id.split('/')[2], connection, 'embedded')
if file_object['status'] in FILE_IGNORE_STATUS:
continue
if file_object['file_format'] == 'fastq':
if 'replicate' in file_object:
bio_rep_number = file_object['replicate']['biological_replicate_number']
tec_rep_number = file_object['replicate']['technical_replicate_number']
key = (bio_rep_number,tec_rep_number)
if key not in rep_dict:
rep_dict[key] = set()
if 'read_length' in file_object and 'run_type' in file_object:
if file_object['run_type'] == 'single-ended':
record_val = str(file_object['read_length'])+'SE'
else:
record_val = str(file_object['read_length'])+'PE'
rep_dict[key].add(record_val)
seq_info_string = ''
for k in sorted(rep_dict.keys()):
reps_string = ''
for member in rep_dict[k]:
reps_string += member + ', '
seq_info_string += 'REP' + str(k[0]) + '.' + str(k[1]) + ' ' +reps_string[:-2]+'\r'
histone_experiments_dict[ac]['seq_info'] = seq_info_string
mone = 0
for ac in histone_controls_dict:
mone += 1
page = histone_controls_dict[ac]['page']
obj = histone_controls_dict[ac]['object']
if is_interesting(obj):
if mone % 10 == 0:
print ('processed '+str(mone) + ' out of ' + str(len(histone_controls_dict.keys())))
statuses = {'replication': [], 'files': [], 'qc': []}
if is_replicated(obj) is False or is_replicated(page) is False:
statuses['replication'].append('unreplicated')
if is_not_missing_paired_with(page) is False:
statuses['files'].append('missing paired_with files')
if is_sufficient_read_depth(page) is False:
statuses['qc'].append('insufficient read depth')
if is_not_low_read_depth(page) is False:
statuses['qc'].append('low read depth')
if is_compliant_library_complexity(page) is False:
statuses['qc'].append('insufficient/poor library complexity')
if is_not_moderate_library_complexity(page) is False:
statuses['qc'].append('moderate library complexity')
if is_compliant_library_bottlenecking(page) is False:
statuses['qc'].append('severe/moderate library bottlenecking')
if is_not_mild_library_bottlenecking(page) is False:
statuses['qc'].append('mild library bottlenecking')
histone_controls_dict[ac]['statuses'] = statuses
rep_dict = {}
for file_id in obj['original_files']:
file_object = encodedcc.get_ENCODE(file_id.split('/')[2], connection, 'embedded')
if file_object['status'] in FILE_IGNORE_STATUS:
continue
if file_object['file_format'] == 'fastq':
if 'replicate' in file_object:
bio_rep_number = file_object['replicate']['biological_replicate_number']
tec_rep_number = file_object['replicate']['technical_replicate_number']
key = (bio_rep_number,tec_rep_number)
if key not in rep_dict:
rep_dict[key] = set()
if 'read_length' in file_object and 'run_type' in file_object:
if file_object['run_type'] == 'single-ended':
record_val = str(file_object['read_length'])+'SE'
else:
record_val = str(file_object['read_length'])+'PE'
rep_dict[key].add(record_val)
seq_info_string = ''
for k in sorted(rep_dict.keys()):
reps_string = ''
for member in rep_dict[k]:
reps_string += member + ', '
seq_info_string += 'REP' + str(k[0]) + '.' + str(k[1]) + ' ' +reps_string[:-2]+'\r'
histone_controls_dict[ac]['seq_info'] = seq_info_string
if args.target == "histone":
marks_to_print = ['control']
marks_to_print.extend(CORE_MARKS)
for m in marks:
if m not in CORE_MARKS and m != 'control':
marks_to_print.append(m)
else:
marks_to_print = ['control']
for m in marks:
if m != 'control':
marks_to_print.append(m)
with open(args.audit_matrix, 'w') as output:
fields = ['sample'] + marks_to_print
writer = csv.DictWriter(output, fieldnames=fields)
writer.writeheader()
for sample in sample_types:
row = {'sample': sample}
for mark in marks_to_print:
if mark != 'control':
if sample in matrix[mark]:
total = len(matrix[mark][sample])
accessionStatuses = {}
aliases = {}
for (acc, al) in matrix[mark][sample]:
aliases[acc] = al
accessionStatuses[acc] = []
statuses = histone_experiments_dict[acc]['statuses']
for k in statuses:
if len(statuses[k]) > 0:
statuses_string = ''
for status in statuses[k]:
statuses_string += '-' + status + '\r'
accessionStatuses[acc].append(statuses_string)
cell_info = ''
for acc in accessionStatuses:
if len(accessionStatuses[acc]) < 1:
cell_info += acc + ' ' + histone_experiments_dict[acc]['object']['status'] + \
'\r' + str(aliases[acc])
else:
statuses_string = ''
for status in accessionStatuses[acc]:
statuses_string += status
cell_info += acc + ' ' + histone_experiments_dict[acc]['object']['status'] + \
'\r' + str(aliases[acc]) + '\r' + \
statuses_string
cell_info += '\r\n'
row.update({mark: 'Experiments number : '+str(total)+'\r' +
cell_info})
else:
row.update({mark: 'NONE'})
else:
if sample in control_matrix[mark]:
total = len(control_matrix[mark][sample])
accessionStatuses = {}
aliases = {}
for (acc, al) in control_matrix[mark][sample]:
aliases[acc] = al
accessionStatuses[acc] = []
statuses = histone_controls_dict[acc]['statuses']
for k in statuses:
if len(statuses[k]) > 0:
statuses_string = ''
for status in statuses[k]:
statuses_string += '-' + status + '\r'
accessionStatuses[acc].append(statuses_string)
cell_info = ''
for acc in accessionStatuses:
if len(accessionStatuses[acc]) < 1:
cell_info += acc + ' ' + histone_controls_dict[acc]['object']['status'] + \
'\r' + str(aliases[acc])
else:
statuses_string = ''
for status in accessionStatuses[acc]:
statuses_string += status
cell_info += acc + ' ' + histone_controls_dict[acc]['object']['status'] + \
'\r' + str(aliases[acc]) + '\r' + \
statuses_string
cell_info += '\r\n'
row.update({mark: 'Experiments number : '+str(total)+'\r' +
cell_info})
else:
row.update({mark: 'NONE'})
writer.writerow(row)
with open(args.run_type_matrix, 'w') as output:
fields = ['sample'] + marks_to_print
writer = csv.DictWriter(output, fieldnames=fields)
writer.writeheader()
for sample in sample_types:
row = {'sample': sample}
for mark in marks_to_print:
if mark != 'control':
if sample in matrix[mark]:
total = len(matrix[mark][sample])
accessionStatuses = {}
aliases = {}
for (acc, al) in matrix[mark][sample]:
aliases[acc] = al
accessionStatuses[acc] = []
statuses = histone_experiments_dict[acc]['statuses']
for k in statuses:
if len(statuses[k]) > 0:
statuses_string = ''
for status in statuses[k]:
statuses_string += '-' + status + '\r'
accessionStatuses[acc].append(statuses_string)
cell_info = ''
for acc in accessionStatuses:
cell_info += acc + ' ' + \
histone_experiments_dict[acc]['object']['status'] + \
'\r' + str(aliases[acc]) + \
'\r' + \
histone_experiments_dict[acc]['seq_info']
cell_info += '\r\n'
row.update({mark: 'Experiments number : '+str(total)+'\r' +
cell_info})
else:
row.update({mark: 'NONE'})
else:
if sample in control_matrix[mark]:
total = len(control_matrix[mark][sample])
accessionStatuses = {}
aliases = {}
for (acc, al) in control_matrix[mark][sample]:
aliases[acc] = al
accessionStatuses[acc] = []
statuses = histone_controls_dict[acc]['statuses']
for k in statuses:
if len(statuses[k]) > 0:
statuses_string = ''
for status in statuses[k]:
statuses_string += '-' + status + '\r'
accessionStatuses[acc].append(statuses_string)
cell_info = ''
for acc in accessionStatuses:
cell_info += acc + ' ' + histone_controls_dict[acc]['object']['status'] + \
'\r' + str(aliases[acc]) + '\r' + \
histone_controls_dict[acc]['seq_info']
cell_info += '\r\n'
row.update({mark: 'Experiments number : '+str(total)+'\r' +
cell_info})
else:
row.update({mark: 'NONE'})
writer.writerow(row)
if __name__ == '__main__':
main()